Skip to content
SPECIFICTION
Get listed

Atomic vs OpenComputer

Atomic

github.com

OpenComputer

github.com

Side by side

FigureAtomicOpenComputer
Price from$15/mo—
Free plan——
Free trial——
Open source——
Windows—Yes
macOS—Yes
Linux—Yes
API—Yes
Self-hostedYes—
Plans published10
Spec score · AI Computer Use Agents7.7 (#7)7.2 (#18)
MakerThe repository’s support section says the maker is spending 100% of their work time on the project and is setting up GitHub Sponsors.The linked GitHub profile identifies the maker as Andrew Krikorian and lists California.
PurposeAtomic describes itself as an open-source, priority-driven AI scheduler for solving time and scheduling problems.OpenComputer is an open-source, local-first desktop agent that understands the screen and operates applications through mouse and keyboard interactions.

Plans

Atomic

  • Customized Atomic for your team on your cloud$15 a month

Atomic pricing →

OpenComputer

No plans published.

OpenComputer pricing →

In their own words

Atomic

Atomic has no write-up on Specifiction yet; its figures are above.

Visit github.com

OpenComputer

OpenComputer is a free, MIT-licensed open-source desktop agent that runs locally and uses screen understanding to operate applications through mouse and keyboard actions. It can click, drag, scroll, enter text, use shortcuts, open URLs, and wait for interface changes. The agent can connect to a local vision-language model through vLLM or to a hosted API; the endpoint must accept image inputs, function tools, and the model’s tool-call format. Ask first is the default permission mode and requests approval for mouse, keyboard, and URL actions, while Automatic mode runs them without individual prompts. Build targets include Linux AppImage and deb packages, Windows NSIS, and macOS DMG. Linux X11 is best supported; Wayland, Windows, and macOS are experimental. The current agent operates only on the primary display. Screenshots, prompts, and tool results can remain local. API keys use user-only file permissions but are not stored in the operating-system keychain. The project describes itself as early alpha and recommends supervision for sensitive workflows.

Visit github.com